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      氣候變化研究進展 ?? 2009, Vol. 5 ?? Issue (02): 85-089.

      ? 研究論文 ? 上一篇    下一篇

      塔克拉瑪干沙漠腹地1961-1998年逐月平均氣溫序列的重建

      楊青1,劉新春2,霍文2,鄭偉   

      1. 1. 中國氣象局 烏魯木齊沙漠氣象研究所2. 中國氣象局烏魯木齊沙漠氣象研究所
      • 收稿日期:2008-07-29 修回日期:1900-01-01 出版日期:2009-03-30 發(fā)布日期:2009-03-30
      • 通訊作者: 楊青

      Reconstructed Series of Monthly Average Temperature from 1961 to 1998 in the Hinterland of the Taklimakan Desert

      Yang Qing   

      1. Institute of Desert Meteorology, China Meteorological Administration
      • Received:2008-07-29 Revised:1900-01-01 Online:2009-03-30 Published:2009-03-30
      • Contact: Yang Qing

      摘要: 利用塔里木盆地周邊27個氣象站1961-2006年逐月平均氣溫和塔中氣象站1999-2006年逐月平均氣溫資料,同時選取1961-2006年NCEP/NCAR 2.5°×2.5°經(jīng)緯度距地表2 m的月平均氣溫再分析格點資料,分別用逐步回歸分析、EOF分解和NCEP資料3種方法對塔中氣象站1961-1998年歷年逐月平均氣溫序列進行了恢復與重建,分析了誤差,并與周邊氣象站的變化特征進行對比。結果表明,逐步回歸和EOF法都能夠作為重建塔中逐月平均氣溫的方法,但相對而言,逐步回歸法重建的序列誤差更小,平均擬合絕對誤差為0.3℃,最大絕對誤差為1.9℃。而NCEP/NCAR資料由于冬季存在明顯的系統(tǒng)性誤差,數(shù)值顯著偏高,不能用于塔中氣溫序列的重建。

      關鍵詞: 氣溫序列重建, 氣候變化, 塔克拉瑪干沙漠

      Abstract: Monthly average temperatures from 1999 to 2006 at Tazhong weather station (39?0′N, 83?0′E) in the hinterland of the Taklimakan Dersert, and from 1961 to 2006 at 27 weather stations in the peripheral area of the desert, as well as the 2.5  ?.5 ?grid data of the NCEP/NCAR reanalysis surface monthly average temperature in the same period were used to reconstruct the time series of monthly average temperature at Tazhong from 1961-1998 by using the stepwise regression and empirical orthogonal function (EOF) analysis methods. The fitting errors, decadal mean temperatures and their trends were compared with one another. The results show that both the stepwise regression and EOF methods can be used to reconstruct series of monthly average temperature at Tazhong, but the former is superior to the latter in relatively smaller errors; the former's average absolute fitting error is 0.3℃ and the maximum absolute fitting error is 1.9℃. However, the NCEP/NCAR reanalysis surface monthly average temperature data can not be used due to its large positive systematic errors in winter season.

      Key words: reconstructed series of monthly temperature, climate change, Taklimakan Desert

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